Higher order identification and cross-parameter correlation

Dear All,

Many thanks again for the 5.0 release, it is super!

I have tested identification properties of a higher-order approximation of my model and got the usual outputs available for the linear case. I know identification strength is reliable. But, I would like to double-check with you wheter outputs for cross-parameters correlations are valid also with higher-order approximations of the model (I did not get any strange result, just I want to be sure it is not redundant output).

Many thanks in advance!

I am not entirely sure what you mean. Local identification properties at order=1 should usually stay preserved at higher order as well.